A driver's memory lattice model of traffic flow and its numerical simulation
G Peng, F Nie, B Cao, C Liu - Nonlinear Dynamics, 2012 - Springer
A new lattice model of traffic flow based on Nagatani’s model is proposed by taking the
effect of driver’s memory into account. The linear stability condition of the extended model is …
effect of driver’s memory into account. The linear stability condition of the extended model is …
A novel generalized entropy and its application in image thresholding
F Nie, P Zhang, J Li, D Ding - Signal Processing, 2017 - Elsevier
As a technique for image segmentation, thresholding has been successfully utilized in various
image processing tasks. In this paper, a novel generalized entropy, that can handle the …
image processing tasks. In this paper, a novel generalized entropy, that can handle the …
Multilevel thresholding with divergence measure and improved particle swarm optimization algorithm for crack image segmentation
F Nie, M Liu, P Zhang - Scientific Reports, 2024 - nature.com
Crack formation is a common phenomenon in engineering structures, which can cause serious
damage to the safety and health of these structures. An important method of ensuring the …
damage to the safety and health of these structures. An important method of ensuring the …
Two-dimensional minimum local cross-entropy thresholding based on co-occurrence matrix
F Nie, C Gao, Y Guo, M Gan - Computers & Electrical Engineering, 2011 - Elsevier
This paper introduces a novel image segmentation method that performs histogram
thresholding on an image with consideration to spatial information. The spatial information is the …
thresholding on an image with consideration to spatial information. The spatial information is the …
Threshold Selection with Relative J-Divergence for Image Segmentation.
F Nie, P Zhang - IAENG International Journal of Applied …, 2023 - search.ebscohost.com
As an image segmentation technique with high real-time performance, thresholding has been
widely used in machine vision-based task processing. However, due to the complexity of …
widely used in machine vision-based task processing. However, due to the complexity of …
Two-dimensional extension of variance-based thresholding for image segmentation
F Nie, Y Wang, M Pan, G Peng, P Zhang - Multidimensional systems and …, 2013 - Springer
Variance-based thresholding method is a very effective technology for image segmentation.
However, its performance is limited in traditional one-dimensional and two-dimensional …
However, its performance is limited in traditional one-dimensional and two-dimensional …
Image Threshold Segmentation with Jensen-Shannon Divergence and Its Application.
F Nie, J Li - IAENG International Journal of Computer …, 2022 - search.ebscohost.com
Thresholding based on information divergence is an important technique for image segmentation.
It has been applied successfully in many fields because of its excellent performance. …
It has been applied successfully in many fields because of its excellent performance. …
Tsallis cross-entropy based framework for image segmentation with histogram thresholding
F Nie - Journal of Electronic Imaging, 2015 - spiedigitallibrary.org
Various techniques have previously been proposed for thresholding of images to separate
objects from the background. Although these thresholding techniques have been proven …
objects from the background. Although these thresholding techniques have been proven …
Image Segmentation with Thresholding based on Relative Arithmetic-Geometric Divergence.
F Nie, J Li - IAENG International Journal of Computer …, 2022 - search.ebscohost.com
Image segmentation by thresholding has been widely used in industrial practice. Due to the
complexity of the real environment, the universality of image segmentation algorithm is …
complexity of the real environment, the universality of image segmentation algorithm is …
Flotation froth image texture extraction method based on deterministic tourist walks
J Li, B Cao, H Zhu, F Nie - Multimedia Tools and Applications, 2017 - Springer
In the flotation process, the flotation froth texture is an indicator of the flotation state. To
recognize the flotation state based on texture features accurately and to provide guidance for …
recognize the flotation state based on texture features accurately and to provide guidance for …